Latest news with #Codestral
Yahoo
7 days ago
- Business
- Yahoo
Mistral releases a vibe coding client, Mistral Code
French AI startup Mistral is releasing its own "vibe coding" client, Mistral Code, to compete with incumbents like Windsurf, Anysphere's Cursor, and GitHub Copilot. Mistral Code, a fork of the open-source project Continue, is an AI-powered coding assistant that bundles Mistral's models, an "in-IDE" assistant, local deployment options, and enterprise tools into a single package. A private beta is available as of Wednesday for JetBrains development platforms and Microsoft's VS Code. "Our goal with Mistral Code is simple: deliver best-in-class coding models to enterprise developers, enabling everything from instant completions to multi-step refactoring through an integrated platform deployable in the cloud, on reserved capacity, or air-gapped, on-prem GPUs," Mistral wrote in a blog post provided to TechCrunch. AI programming assistants are growing increasingly popular. While they still struggle to code quality software, their promise to boost coding productivity is pushing companies and developers to adopt them rapidly. One recent poll found that 76% of developers have used or were planning to use AI tools in their development processes last year. Mistral Code is said to be powered by a combination of in-house models including Codestral (for code autocomplete), Codestral Embed (for code search and retrieval), Devstral (for "agentic" coding tasks), and Mistral Medium (for chat assistance). The client supports more than 80 programming languages and a number of third-party plugins, and can reason over things like files, terminal outputs, and issues, the company said. Mistral claimed that customers including consulting firm Capgemini, Spanish and Portuguese bank Abanca, and French national railway company SNCF are using Mistral Code in production. "Customers can fine-tune or post-train the underlying models on private repositories or distill lightweight variants," Mistral explained in its blog post. "For IT managers, a rich admin console exposes granular platform controls, deep observability, seat management, and usage analytics." Mistral said it plans to continue making improvements to Mistral Code and contribute at least a portion of those upgrades to the Continue open source project. Founded in 2023, Mistral is a frontier model lab building a range of AI-powered services, including a chatbot platform, Le Chat, and mobile apps. It is backed by venture investors like General Catalyst, and has raised over €1.1 billion (roughly $1.24 billion) to date. A few weeks ago, Mistral launched the aforementioned Codestral, Devstral, and Mistral Medium models. Around the same time, the company rolled out Le Chat Enterprise, a corporate-focused chatbot service that offers tools like an AI agent builder, and integrates Mistral's models with third-party services like Gmail, Google Drive, and SharePoint. This article originally appeared on TechCrunch at Sign in to access your portfolio
Yahoo
21-05-2025
- Business
- Yahoo
Mistral's new Devstral AI model was designed for coding
AI startup Mistral on Wednesday announced a new AI model focused on coding: Devstral. Devstral, which Mistral says was developed in partnership with AI company All Hands AI, is openly available under an Apache 2.0 license, meaning it can be used commercially without restriction. Mistral claims that Devstral outperforms other open models like Google's Gemma 3 27B and Chinese AI lab DeepSeek's V3 on SWE-Bench Verified, a benchmark measuring coding skills. "Devstral excels at using tools to explore codebases, editing multiple files and power[ing] software engineering agents," writes Mistral in a blog post provided to TechCrunch. "[I]t runs over code agent scaffolds such as OpenHands or SWE-Agent, which define the interface between the model and the test cases [...] Devstral is light enough to run on a single [Nvidia] RTX 4090 or a Mac with 32GB RAM, making it an ideal choice for local deployment and on-device use." Devstral arrives as AI coding assistants — and the models powering them — grow increasingly popular. Just last month, JetBrains, the company behind a range of popular app development tools, released its first "open" AI model for coding. In recent months, AI outfits including Google, Windsurf, and OpenAI have also unveiled models, both openly available and proprietary, optimized for programming tasks. AI models still struggle to code quality software — code-generating AI tends to introduce security vulnerabilities and errors, owing to weaknesses in areas like the ability to understand programming logic. Yet their promise to boost coding productivity is pushing companies — and developers — to rapidly adopt them. One recent poll found that 76% of devs used or were planning to use AI tools in their development processes last year. Mistral previously waded into the assistive programming space with Codestral, a generative model for code. But Codestral wasn't released under a license that permitted devs to use the model for commercial applications; its license explicitly banned "any internal usage by employees in the context of [a] company's business activities." Devstral, which Mistral is calling a "research preview," can be downloaded from AI development platforms, including Hugging Face, and also tapped through Mistral's API. It's priced at $0.1 per million input tokens and $0.3 per million output tokens, tokens being the raw bits of data that AI models work with. (A million tokens is equivalent to about 750,000 words, or roughly 163,000 words longer than "War and Peace.") Mistral says it's "hard at work building a larger agentic coding model that will be available in the coming weeks." Devstral isn't a small model per se, but it's on the smaller side at 24 billion parameters. (Parameters roughly correspond to a model's problem-solving skills, and models with more parameters generally perform better than those with fewer parameters.) Mistral, founded in 2023, is a frontier model lab, aiming to build a range of AI-powered services, including a chatbot platform, Le Chat, and mobile apps. It's backed by VCs, including General Catalyst, and has raised over €1.1 billion (roughly $1.24 billion) to date. Mistral's customers include BNP Paribas, AXA, and Mirakl. Devstral is Mistral's third product launch this month. A few weeks ago, Mistral launched Mistral Medium 3, an efficient general-purpose model. Around the same time, the company rolled out Le Chat Enterprise, a corporate-focused chatbot service that offers tools like an AI "agent" builder and integrates Mistral's models with third-party services like Gmail, Google Drive, and SharePoint. Error while retrieving data Sign in to access your portfolio Error while retrieving data Error while retrieving data Error while retrieving data Error while retrieving data
Yahoo
21-05-2025
- Business
- Yahoo
Mistral's new Devstral AI model was designed for coding
AI startup Mistral on Wednesday announced a new AI model focused on coding: Devstral. Devstral, which Mistral says was developed in partnership with AI company All Hands AI, is openly available under an Apache 2.0 license, meaning it can be used commercially without restriction. Mistral claims that Devstral outperforms other open models like Google's Gemma 3 27B and Chinese AI lab DeepSeek's V3 on SWE-Bench Verified, a benchmark measuring coding skills. "Devstral excels at using tools to explore codebases, editing multiple files and power[ing] software engineering agents," writes Mistral in a blog post provided to TechCrunch. "[I]t runs over code agent scaffolds such as OpenHands or SWE-Agent, which define the interface between the model and the test cases [...] Devstral is light enough to run on a single [Nvidia] RTX 4090 or a Mac with 32GB RAM, making it an ideal choice for local deployment and on-device use." Devstral arrives as AI coding assistants — and the models powering them — grow increasingly popular. Just last month, JetBrains, the company behind a range of popular app development tools, released its first "open" AI model for coding. In recent months, AI outfits including Google, Windsurf, and OpenAI have also unveiled models, both openly available and proprietary, optimized for programming tasks. AI models still struggle to code quality software — code-generating AI tends to introduce security vulnerabilities and errors, owing to weaknesses in areas like the ability to understand programming logic. Yet their promise to boost coding productivity is pushing companies — and developers — to rapidly adopt them. One recent poll found that 76% of devs used or were planning to use AI tools in their development processes last year. Mistral previously waded into the assistive programming space with Codestral, a generative model for code. But Codestral wasn't released under a license that permitted devs to use the model for commercial applications; its license explicitly banned "any internal usage by employees in the context of [a] company's business activities." Devstral, which Mistral is calling a "research preview," can be downloaded from AI development platforms, including Hugging Face, and also tapped through Mistral's API. It's priced at $0.1 per million input tokens and $0.3 per million output tokens, tokens being the raw bits of data that AI models work with. (A million tokens is equivalent to about 750,000 words, or roughly 163,000 words longer than "War and Peace.") Mistral says it's "hard at work building a larger agentic coding model that will be available in the coming weeks." Devstral isn't a small model per se, but it's on the smaller side at 24 billion parameters. (Parameters roughly correspond to a model's problem-solving skills, and models with more parameters generally perform better than those with fewer parameters.) Mistral, founded in 2023, is a frontier model lab, aiming to build a range of AI-powered services, including a chatbot platform, Le Chat, and mobile apps. It's backed by VCs, including General Catalyst, and has raised over €1.1 billion (roughly $1.24 billion) to date. Mistral's customers include BNP Paribas, AXA, and Mirakl. Devstral is Mistral's third product launch this month. A few weeks ago, Mistral launched Mistral Medium 3, an efficient general-purpose model. Around the same time, the company rolled out Le Chat Enterprise, a corporate-focused chatbot service that offers tools like an AI "agent" builder and integrates Mistral's models with third-party services like Gmail, Google Drive, and SharePoint. Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Yahoo
21-05-2025
- Business
- Yahoo
Mistral's new Devstral model was designed for coding
AI startup Mistral on Wednesday announced a new AI model focused on coding: Devstral. Devstral, which Mistral says was developed in partnership with AI company All Hands AI, is openly available under an Apache 2.0 license, meaning it can be used commercially without restriction. Mistral claims that Devstral outperforms other open models like Google's Gemma 3 27B and Chinese AI lab DeepSeek's V3 on SWE-Bench Verified, a benchmark measuring coding skills. "Devstral [...] is trained to solve real GitHub issues," writes Mistral in a blog post provided to TechCrunch. "[I]t runs over code agent scaffolds such as OpenHands or SWE-Agent, which define the interface between the model and the test cases [...] Devstral is light enough to run on a single [Nvidia] RTX 4090 or a Mac with 32GB RAM, making it an ideal choice for local deployment and on-device use." Devstral arrives as AI coding assistants — and the models powering them — grow increasingly popular. Just last month, JetBrains, the company behind a range of popular app development tools, released its first "open" AI model for coding. In recent months, AI outfits including Google, Windsurf, and OpenAI have also unveiled models, both openly available and proprietary, optimized for programming tasks. AI models still struggle to code quality software — code-generating AI tends to introduce security vulnerabilities and errors, owing to weaknesses in areas like the ability to understand programming logic. Yet their promise to boost coding productivity is pushing companies — and developers — to rapidly adopt them. One recent poll found that 76% of devs used or were planning to use AI tools in their development processes last year. Mistral previously waded into the assistive programming space with Codestral, a generative model for code. But Codestral wasn't released under a license that permitted devs to use the model for commercial applications; its license explicitly banned "any internal usage by employees in the context of [a] company's business activities." Devstral, which Mistral is calling a "research preview," can be downloaded from AI development platforms including Hugging Face and also tapped through Mistral's API. It's priced at $0.1 per million input tokens and $0.3 per million output tokens, tokens being the raw bits of data that AI models work with. (A million tokens is equivalent to about 750,000 words, or roughly 163,000 words longer than "War and Peace.") Mistral says it's "hard at work building a larger agentic coding model that will be available in the coming weeks." Devstral isn't a small model per se, but it's on the smaller side at 24 billion parameters. (Parameters roughly correspond to a model's problem-solving skills, and models with more parameters generally perform better than those with fewer parameters.) Mistral, founded in 2023, is a frontier model lab, aiming to build a range of AI-powered services, including a chatbot platform, Le Chat, and mobile apps. It's backed by VCs including General Catalyst, and has raised over €1.1 billion (roughly $1.24 billion) to date. Mistral's customers include BNP Paribas, AXA, and Mirakl. Devstral is Mistral's third product launch this month. A few weeks ago, Mistral launched Mistral Medium 3, an efficient general-purpose model. Around the same time, the company rolled out Le Chat Enterprise, a corporate-focused chatbot service that offers tools like an AI "agent" builder and integrates Mistral's models with third-party services like Gmail, Google Drive, and SharePoint. This article originally appeared on TechCrunch at Sign in to access your portfolio
Associated Press
27-02-2025
- Business
- Associated Press
Continue Launches 1.0 with Open-Source IDE Extensions and a Hub that Empowers Developers to Build and Share Custom AI Code Assistants
$5M seed round raised from Heavybit, Y Combinator, and angels to meet developers where they are now SAN FRANCISCO, CA, February 26, 2025 (EZ Newswire) -- Continue, the open-source AI code assistant platform, today announced the launch of Continue 1.0, a major milestone on its journey to empower developers with fully customizable AI code assistants. Continue enables developers to create, share, and use custom AI code assistants with open-source IDE extensions that can now seamlessly leverage a vibrant hub of models, context, and other building blocks. With hundreds of thousands of users, 20k+ GitHub stars, and a thriving Discord community of 10k+ developers, Continue is setting a new standard for open-source AI-enhanced development. The release of Continue 1.0 includes a new hub that makes it frictionless to create AI code assistants with a registry for defining, managing, and sharing Continue building blocks. There are blocks published and maintained by verified partners like Claude 3.5 Sonnet from Anthropic, Codestral from Mistral, DeepSeek-R1 from Ollama, voyage-code-3 embeddings from Voyage AI, and MCP servers from Docker. Blocks and assistants may also be created and shared to the hub by individual developers, independent software vendors (ISVs), and other organizations. Also included is the first major release of Continue's open-source extensions for VS Code and JetBrains. Developers can use these extensions with assistants and blocks from the hub via a free, solo tier. Organizations can take advantage of paid teams and enterprise tiers. Working with early enterprise users such as Siemens, Morningstar, and IONOS helped to shape the product. The hub provides engineering leaders with governance, security, and infrastructure control over AI code assistants within their organizations. 'Continue 1.0 is a huge leap forward in making AI-powered development truly customizable, private, and developer-first. The 'one-size-fits-all' AI code assistant will be a thing of the past. With this release, we're making it easier than ever for individual developers and teams to take full control over their AI coding experience through both our open-source community and our hub of building blocks for custom AI code assistants,' said Ty Dunn, co-founder of Continue. Continue is built on the foundation of developer empowerment and data control. Unlike closed-source alternatives, Continue ensures that every developer has the power to decide how AI integrates into their coding environment. Key features of the teams and enterprise tiers on include: Standardize development practices: Teams can establish custom AI code assistants that help developers align with shared development, review, and testing practices Governance controls: Organizations can define and enforce policies around AI-assisted development, governing what blocks can be created, shared, and used within their teams Private data plane deployment: Enterprises can deploy a data plane within their own infrastructure, ensuring that all code and analytics remain secure without exposing API keys or sensitive data 'Developers thrive when they have the freedom to build with the best tools available. Continue 1.0 amplifies every developer, team, and organization with the power to choose and customize AI code assistants to fit their unique workflows and preferences. This launch isn't just about AI helping developers write code—it's about making AI a natural, customizable extension of how they already work. Continue gives developers superpowers that amplify and enhance the way they already work. This is why Heavybit has been investing in developer-first startups for more than a decade,' said Jesse Robbins, General Partner at Heavybit and co-founder of Chef. 'At Mistral, our mission has always been to democratize artificial intelligence. Our partnership with Continue perfectly aligns with our vision of a developer-first ecosystem where AI code assistants are both secure and customizable. Whether you need local, on-prem, in your VPC, on the public cloud, or via serverless APIs, you can use Mistral models with Continue,' said Arthur Mensch, co-founder and CEO of Mistral AI. 'Together, we're building the future of AI-powered development on a foundation of openness and trust.' 'We believe that when it comes to AI coding tools, developers should be able to consume with confidence. In this period of rapid change, confidence requires openness, pluggability, and modularity. Now is the time to embrace the transparency and innovation of open source solutions. We believe in Continue's approach, and we're excited to partner with them and the community to define this ecosystem,' said Craig McLuckie, co-founder of Stacklok, Kubernetes, and the Cloud Native Computing Foundation 'At YC, we invest in teams that put developers first, and Continue's 1.0 launch is a perfect example of that philosophy in action,' said Garry Tan, CEO of Y Combinator. He continued 'By making it easy to create custom AI code assistants, they're giving developers the power to tailor their coding experience like never before. This is a major step forward in building an open ecosystem where innovation and democratization go hand in hand.' Backed by Heavybit and Y Combinator, Continue has raised a total of $5 million in seed funding to create a developer ecosystem built on trust, privacy, and developer empowerment. With 1.0, Continue is not only revolutionizing the AI coding assistant landscape but also ensuring that developers everywhere have the tools they need to harness AI on their own terms. To learn more about Continue, visit If you're interested in working at Continue, apply online. About Continue Continue enables developers to create, share, and use custom AI code assistants. Loved by hundreds of thousands of developers worldwide at organizations ranging from small startups to Fortune 500 companies, our open-source IDE extensions fit into existing workflows, while letting users leverage our vibrant hub of models, context, and tools. Backed by Heavybit, Y Combinator, and angels, including Julien Chaumond (co-founder of Hugging Face), Lisha Li (founder of Rosebud AI), and Florian Leibert (co-founder of Mesosphere), Continue was founded in 2023 and is based in San Francisco. For more information, visit SOURCE: Continue
